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    29 January 2020, Volume 29 Issue 1 Previous Issue    Next Issue
    Mechanism Design in Management
    CHEN Bingyao, RONG Lisong, SUN Peng, CHEN Jian
    2020, 29 (1):  1-11.  doi: 10.3969/j.issn.1005-2542.2020.01.001
    Abstract ( )   PDF (1041KB) ( )  
    Information asymmetry among participants in a managerial system may cause incentive distortion and other problems. If an effective mechanism cannot be designed, the expected goal cannot be achieved or even disastrous consequences may be caused. Starting from typical events in management practice, this paper summarized and explored the main defects of the mechanism causing problems, and briefly described the basic concepts, main theories, and development process of mechanism design. Moreover, it reviewed and summarized the application research of mechanism design in management problems, mainly including the mechanism design of single agent or multi-agent in static or dynamic environment. Furthermore, it discussed future research directions.
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    Familized Management and Enterprise Innovation: Empirical Evidence from Group-Affiliated Listed Companies
    LOU Zhukun, ZHANG Luping, CHEN Yingying, YU Xiaoyu
    2020, 29 (1):  12-20.  doi: 10.3969/j.issn.1005-2542.2020.01.002
    Abstract ( )   PDF (1010KB) ( )  
    Although familized-affiliated enterprises are common in the capital market, there is a lack of evidence on whether their innovation performance is better than that of only-child group-affiliated enterprises. This paper divided the listed companies affiliated to the Chinese group into familized group-affiliated enterprises and only-child group-affiliated enterprises, and examined the differences in innovation performance between the two types of organizations. It is found that the innovation performance of familized group-affiliated enterprises is significantly higher than that of only-child group-affiliated enterprises, and the innovation performance advantage of the familized group affiliation is more obvious in private than in state-owned enterprises. Moreover, the more the business of a familized group-affiliated firm is related to that of its parent company, the better the innovation performance of the affiliated firm will be. Conversely, the higher the diversification of a familized group, the lower the innovation performance of its affiliated firms will be. This paper shows that the familized group affiliation promotes the innovation of the affiliated enterprise. The findings enrich the understanding of the impact of the familized group on the innovation of affiliated firms, and have important practical implications for the innovation management of the group enterprise.
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    Regional Disparities, Influencing Factors, and High-Level Strategy of China’s Equipment Manufacturing Industry
    ZHAO Zijian, FU Jiaping
    2020, 29 (1):  21-30.  doi: 10.3969/j.issn.1005-2542.2020.01.003
    Abstract ( )   PDF (1016KB) ( )  
    This paper discussed the regional disparities, influencing factors, and high-level strategy of China’s equipment manufacturing industry based on the total factor productivity (TFP). The OP and LP methods were used to measure the regional TFP values, of which the OP method appeared to have a better applicability. The result showed that there existed regional disparities and the TFP of enterprises in the eastern region was the highest while that in the western region was the lowest, which was consistent with the social and economic conditions. Besides, the highest TFP growth rate in the West and the lowest in the East indicated that the TFP began to show convergence. Two methods were adopted in provincial classification. One was to classify according to the location, and the other was to classify by conducting cluster analysis using the TFP value as the independent variable. The random effect model was adopted to estimate the coefficients of influencing factors of two different classifications, and the cluster classification proved to be more reasonable. The regression analysis of influencing factors showed that TFP has a positive relationship with enterprise scale, research and development expenses, employee education expenses, subsidy income and export, and a negative relationship with the proportion of state-owned assets, but there are large regional differences. Based on the above empirical results, this paper discussed the development path of China’s high-level equipment manufacturing industry and the policy design at national and regional levels in detail.
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    Transit Service Level, Traffic Demand Management and Public Transit Attraction: A Dual Test Based on Objective Choice and Subjective Will
    YAO Di, XU Liquan, LI Jinpei
    2020, 29 (1):  31-40.  doi: 10.3969/j.issn.1005-2542.2020.01.004
    Abstract ( )   PDF (1080KB) ( )  
    Based on the characteristics of urban mobilization and the background of bus priority practice in China, this paper proposes a theoretical framework of transit service level, traffic demand management and public transit attraction using the RP data of residents who have options and SP data of private car users in Changzhou, and using the binary logit model and the cumulative logit mode. The results show that transit service level and traffic demand management have a positive effect on public transit attraction for citizens who have options. There is a significant complementary effect between transit service level and traffic demand management. Moreover, public transit has a different attraction to car travelers and E-bike travelers under the same conditions. This paper indicates that for cities with a high motorization level, traffic governance should not only develop public transit, but also implement appropriate traffic demand management. It is necessary to build a co-governance of public transit incentive and private vehicle penalty.
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    Firm Innovation in Context of Technological Turbulence: Based on Dual Perspectives of Organizational Slack and Learning
    SUN Yin, ZUO Bo, GUO Jinyu, GUO Feng
    2020, 29 (1):  41-48.  doi: 10.3969/j.issn.1005-2542.2020.01.005
    Abstract ( )   PDF (1036KB) ( )  
    This paper, considering organizational learning as a mediator and technology turbulence as a moderator, revealed the influencing mechanism of discretionary slack on innovation performance. The empirical results based on the data of 258 firms show that discretionary slack is positively related to innovation performance. Organizational learning mediates the relationship between discretionary slack and innovation performance. Meanwhile, technology turbulence moderates the relationship between discretionary slack and innovation performance and this moderate effect is also mediated by organizational learning. Besides, this paper proposed some suggestions to improve the innovation performance of firms.
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    Influencing Factors of Mobile Health Users’ Adoption Intention: A Meta-Analysis
    ZHU Zhangxiang, LIU Yongmei, CAOXianye
    2020, 29 (1):  49-60.  doi: 10.3969/j.issn.1005-2542.2020.01.006
    Abstract ( )   PDF (1147KB) ( )  
    Based on 30 related empirical papers at home and abroad, this paper examined the factors affecting mobile health users’ adoption intention, and the potential moderating effects of development level in different countries or regions. The results show that the relationships between variables that proposed in original TAM and TPB are verified under the mobile health services context. Moreover, perceived ubiquity has significantly positive effects on perceived usefulness and adoption intention; refuse to change has significantly negative effects on adoption, and technology anxiety are negatively relate to perceived ease of use and adoption intention. The moderator analysis reveal that users from countries or regions with different development levels significantly moderate the relationships assumed in the proposed model. The conclusion drawn from this study provides a theoretical reference for the follow-up research and formulation of targeted marketing programs for service providers.
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    Diversity Recommendation Based on Product Co-Purchase Network
    WANG Qian, YUJijun
    2020, 29 (1):  61-72.  doi: 10.3969/j.issn.1005-2542.2020.01.007
    Abstract ( )   PDF (4214KB) ( )  
    How to provide consumers with diversified product recommendation has become a hot topic in the field of personalized recommendation. However, the traditional diversity recommendation selects diversity products by using the random or reverse scoring method, which is not able to accurately recommend diversity products for consumers. Therefore, by referring the theory of network information diffusion, the purchase record of the consumer is transformed into a commodity purchase relationship network, and the importance of commodity nodes in the network is analyzed by using the full neighborhood method. Using Bayesian association rule algorithm to calculate the key nodes that are related to the products with the highest score in the recommendation prediction, and taking the key nodes as the basis for the recommendation of diversified products, a diversity recommendation method based on the purchase relationship network is proposed. The results show that, compared with the traditional diversity recommendation method, the new recommendation method can more accurately recommend diversified products for consumers, and at the same time, the method can effectively promote the recommendation of long-tail products through the product recommendation diffusion effect formed by the recommendation cascade relationship between key nodes.
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    Knowledge Sharing Incentive of Crowdsourcing Contest Innovation Considering Respondents Fairness Concerns
    ZHU Binxin, MA Zhiqiang, Leon Williams, GAO Peng
    2020, 29 (1):  73-82.  doi: 10.3969/j.issn.1005-2542.2020.01.008
    Abstract ( )   PDF (1236KB) ( )  
    The influence of horizontal fairness concerns among respondents on the knowledge sharing incentive in crowdsourcing the contest innovation project was studied. A model with and without knowledge sharing incentive (called KS and NKS respectively) was established and solved based on the construction of the utility function of the respondents under fairness concern. Then, the impact of fairness concerns sensitivity on optimal knowledge sharing incentive degree, optimal private solution effort, knowledge sharing effort, crowdsourcing project performance and expect economic benefits of both sides was studied by means of theoretical analysis and numerical simulation, and a comparison was made with the non-knowledge sharing incentive. The result shows that fairness concerns can reduce the threshold of knowledge sharing incentive mechanism, and enhance the optimal knowledge sharing incentive degree of the crowdsourcer. The knowledge sharing effort is positively related to fairness concerns, but the private solution effort is negatively related to it. The relationship among crowdsourcing project performances, the absolute economic benefits of the crowdsourcer and fairness concerns depends on the ratio between the private effort performance transformation rate and the knowledge sharing effort performance transformation rate. It also finds that the incentive mechanism of knowledge sharing can achieve a win-win result of economic benefits of both parties, while its economic value increases with the sensitivity of fairness concerns, and is regulated by the number of participants.
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    Planning Model for Urban Bicycle Rental Systems Considering Dynamic Multi-Period Borrowing and Returning Demands
    LIU Xinyu, CHEN Qun
    2020, 29 (1):  83-91.  doi: 10.3969/j.issn.1005-2542.2020.01.009
    Abstract ( )   PDF (4081KB) ( )  
    A planning model for bicycle rental systems was proposed, which considers the dynamic multi-period borrowing and returning demands and dynamic variation of the numbers of available bicycles and parking spaces at each zone. Under the condition that the needs for picking up and dropping off bicycles amidst all bicycle travel demands are satisfied, the model proposed aimed to minimize the total construction cost by optimizing the numbers of parking lockers or parking spaces at each zone and the numbers of bicycles assigned at each zone at the beginning of the operation period. The model proposed is a large-scale integer linear programming problem. By using the branch and bound algorithm embedded in the LINGO software, the global optimal solution can be obtained quickly. The model proposed is verified by an example.
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    Pricing of Resetable CoCos Based on Path Decomposition
    QIN Xuezhi, WANG Lin, SONG Yu
    2020, 29 (1):  92-99.  doi: 10.3969/j.issn.1005-2542.2020.01.010
    Abstract ( )   PDF (1115KB) ( )  

    If contingent convertible bonds  (CoCos) have not been changed to equity for a long time, the issuer may not be able to pay high coupons and will be forced to redeem the bond. In order to solve the problem, this paper designed a resetable CoCos (RCCst). First, it analyzed the path dependence characteristics of bond value through the decomposition of possible paths of the stock price. Then, it calculated the put-back boundary and bond value. The numerical analysis show that the value of RCCs is less than the that of CoCos under the same parameters and the usability of its clauses has certain advantages compared with the redeemable CoCos which are prevalent in the current market. The sensitivity analysis indicates that there is a negative correlation between the bond value and the annual volatility of the stock price, and a positive correlation between the bond value and the resetable date. Therefore, it is necessary to select the appropriate resetable date based on the prediction of future market risk.






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    Estimation of Portfolio Efficiency Via Multi-Period Diversification Performance Evaluation Models
    XIAO Helu, REN Tiantian, ZHOU Zhongbao, LIU Wenbin
    2020, 29 (1):  100-106.  doi: 10.3969/j.issn.1005-2542.2020.01.011
    Abstract ( )   PDF (998KB) ( )  
    The existing multi-period portfolio diversification performance evaluation models are mainly divided into two categories. The first category is to build a performance evaluation model based on the return rate of portfolio at each period. The other category is to evaluate portfolio performance by using efficient frontier. However, the former ignores the dynamic relationship among the time periods, while the latter has limitations when there exists friction in financial market. To address this problem, the actual investment of the input-output process was clarified and defined, and the definition of multi-period portfolio efficiency were given based on the distance between portfolio under evaluation and its projection point on the efficient frontier. Under the multi-period mean-variance theoretical framework, the middle connection condition in the multi-period portfolio evaluation problem was derived by using the wealth dynamic process, so as to build a two-period portfolio efficiency estimation model under different orientation. Since the above-mentioned middle connection condition is random, it not workable in actual evaluation. Therefore, in this paper, the first moment and second moment of the above random conditions were used to replace the original one, and another kind of two-period portfolio efficiency estimation model was built. The numerical analyses show that this proposed model is effective.
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    Hybrid Genetic Algorithm for Solving Fuzzy Demand and Time Windows VRP
    FAN Houming, WU Jiaxing, GENG Jing, LI Yang
    2020, 29 (1):  107-118.  doi: 10.3969/j.issn.1005-2542.2020.01.012
    Abstract ( )   PDF (1472KB) ( )  
    Considering the vehicle routing problem with fuzzy demand and fuzzy time window, this paper designed a multi-objective fuzzy chance constrained model, with the objectives of minimizing the total travel distance and the number of vehicles, and maximizing the satisfaction of average customers. In order to improve the diversity of the population, the crossover operator was improved. Based on the introduction of the local search algorithm and Arena’s principle, a hybrid genetic algorithm was designed to solve the multi-objective vehicle routing problem. Experiments of VRPTW standard examples not only show that the algorithm can effectively solve the vehicle routing problem with time windows, but also show the influence of the dispatcher preference index on the decision objective. The research results can provide a way for solving the vehicle routing problem with fuzzy demand and time window, and guidance for actual distribution path planning.
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    Uncertain Scheduling Model and Algorithm Solution for Traditional Chinese Medicine Pharmaceutical Workshop Scheduling Based on Fuzzy Soft Set
    YANG Feng, YE Chunming, SHI Minghua
    2020, 29 (1):  119-128.  doi: 10.3969/j.issn.1005-2542.2020.01.013
    Abstract ( )   PDF (1347KB) ( )  
    In order to solve scheduling problem of traditional Chinese medicine pharmaceutical workshop under the uncertainty of processing time and delivery time, the triangular fuzzy soft number and trapezoid fuzzy soft number were used to represent the processing time and delivery time respectively. Besides,, the possibility measure and the inevitability measure were defined based on the operation principles of fuzzy numbers, the probability of delay in drug production was measured by delivery time credibility, and the mixed integer programming model with the objective to minimize drug production average delivery time credibility was built. Moreover, a hybrid fuzzy cuckoo algorithm was proposed for solving this model. Furthermore, a simulation test was performed by classical examples in 10 (3)×10 scale. The results show that the uncertain scheduling model proposed can reflect the real situation of scheduling, and the hybrid fuzzy cuckoo algorithm has a better performance in solving the model compared with the classic cuckoo algorithm.
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    Optimal Ordering Period and Delayed Payment Decision in Different Fairness Preference
    ZHANG Chong, ZHANG Jun, HAN Guanghua
    2020, 29 (1):  129-139.  doi: 10.3969/j.issn.1005-2542.2020.01.014
    Abstract ( )   PDF (1260KB) ( )  
    In industrial practice, preferences of fairness normally affects decision-making behaviors of supply chain members. In view of the fact that the influence of the FS fair preference model and the Bo fair preference model on delayed payment and order cycle has not been considered in the existing literatures of delayed payment, a retailer-led Stackelberg game in the fair neutral, the FS fairness preference model, and the BO fairness preference model is constructed to provide a way to find the optimal solutions of the model under various conditions. Several numerical examples are employed to analyze the sensitivity of key parameters and robustness of the analytical findings. The research shows that the optimal delay payment period of suppliers in the BO fairness preference model is greater than that in fair neutral while the optimal delayed payment period of suppliers in fair neutral is greater than that in the FS fairness preference model. Besides, the optimal order period of retailers in the FS fairness preference model is greater than that in fair neutral while the optimal order period of retailers in fair neutral is greater than that in the BO fairness preference model. Moreover, in the FS fairness preference model, the profit of each member of the supply chain is lower than or equal to that in the fair neutral model. Furthermore, in the BO fairness preference model, the profit of each member of the supply chain is higher than or equal to that in the fair neutral model fair neutral.
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    Joint Dynamic Pricing and Advertising Strategies for Online Content Considering Reference Effect
    DUAN Yongrui, XU Jian, HUO Jiazhen
    2020, 29 (1):  140-149.  doi: 10.3969/j.issn.1005-2542.2020.01.015
    Abstract ( )   PDF (1187KB) ( )  
    Three pricing strategies, i.e., basic pricing, constant pricing, and dynamic pricing considering the reference effect were studied, respectively. Besides, conditions for the existence and uniqueness of the solutions were given. Moreover, optimal prices and advertising volumes were obtained for the three cases. The numerical study indicates that the optimal dynamic price is affected by the initial reference price. The optimal advertising is decreasing and the profit is increasing in the initial reference price. The optimal advertisement layout decreases with the increase of consumer’s memory coefficient, the increase of the sensitivity coefficient of subscription to reference price, and the decrease of the negative effect of advertisement on subscription. The total return under dynamic pricing is always higher than that under fixed pricing. The reference effect has a greater impact on the profit of enterprises. When the initial reference price is higher, the total return when not considering the reference effect is lower than that when considering the reference effect. However, when the initial reference price is lower, the total return when considering the reference effect is higher than that when not considering the reference effect.
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    Joint Pricing and Replenishment Policy for Non-Instantaneous Deteriorating Items Considering Investment in Preservation Technology
    AI Xueyi, ZHANG Jinlong, XU Haoxuan, WANG Lin
    2020, 29 (1):  150-157.  doi: 10.3969/j.issn.1005-2542.2020.01.016
    Abstract ( )   PDF (1191KB) ( )  
    Considering the effect of the preservation technology investment on product deterioration rate, a joint decision-making model for pricing, inventory and preservation investment has been developed for non-instantaneous deterioration items with price-dependent demand, aiming to maximize the average total profit per unit time. Based on the proof of the existence and uniqueness of the optimal solutions, two iterative algorithms are designed to solve the inventory decision model for two cases, where the replenishment occurs before and after deterioration, respectively, and the characteristics of the global optimal solution are further analyzed to simplify the solving process. Finally, the application of the model is demonstrated by numerical examples. The experimental results show that the investment of preservation technology is beneficial to reduce the loss caused by product deterioration and increase the total profit of the retailer. Moreover, the investment of preservation technology is more effective for products with higher deterioration rate.
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    An Integrated Production and Delivery Scheduling Model and Algorithm for Online Meal Ordering
    WANG Xuping, ZHANG Jun, YI Caiyu
    2020, 29 (1):  158-166.  doi: 10.3969/j.issn.1005-2542.2020.01.017
    Abstract ( )   PDF (1201KB) ( )  
    The delays of online meal ordering delivery are currently serious. How to coordinate the production and distribution to minimize arrival time has become an urgent problem for online meal ordering during the peak period. Considering the fact that the order information are unknown in advance, a parallel machine production and multi-trip vehicle distribution joint optimization model was established to minimize the makespan of total orders. Besides, a three phase heuristic algorithm was proposed. Through a series of experiments where the orders were generated based on Poisson distribution (),the results were compared with those of the traditional algorithm. Several enlightening findings are discovered: when the order arrival rate, the makespan of total orders of the three phase heuristic algorithm is shorter. Meanwhile with the growth of order arrival rate, the improvement amplitude increases gradually. The model and algorithms proposed are conducive to generating efficiently production and distribution joint scheduling solution during the peak period.
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    Demand Forecast and Resource Scheduling of Chain Retail Outlets in O2O Model
    ZHANG Xiangbin, LUO Lingtao
    2020, 29 (1):  167-173.  doi: 10.3969/j.issn.1005-2542.2020.01.018
    Abstract ( )   PDF (1106KB) ( )  
     The online to offline(O2O) mode attaches great importance to user experience. As the first step of offline experience, ensuring the availability of product has become particularly critical. The key to ensuring the availability of products lies in the balance between supply and demand. Based on this point of view, targeting at the chain retail outlets and starting from the perspective of the two aspects of supply and demand, in this paper, a demand forecast model was established based on the probability ranking and the resource scheduling interval programming model, and the scheme to ensure the product availability was given so as to improve customer satisfaction in the O2O mode. The study on specific issues in O2O practice has a very strong practical reference significance.
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    Pricing and Coordination of Dual-Channel Supply Chain Considering Retailer’s Strategic Inventories
    YANG Jiaquan, ZHANG Xumei
    2020, 29 (1):  174-182.  doi: 10.3969/j.issn.1005-2542.2020.01.019
    Abstract ( )   PDF (1137KB) ( )  
    Considering the scenario that the retailer carries strategic inventories across periods in a dual-channel supply chain, this paper establishes a two-period Stackelberg dynamic game model in which the manufacturer is the leader, and analyzes the impact of the retailer’s strategic inventories on the pricing of the supply chain members. The results show that the retailer can influence the wholesale price decision by carrying strategic inventories across two periods, and then affect the price competition between the traditional retail channel and the direct online channel. Particularly, when the unit inventory holding cost is small, carrying strategic inventories across two periods can increase the retailer’s profit. In order to mitigate the adverse effects of the channel conflict and the double marginalization, this paper designs a combined contract consisting of the wholesale price discount mechanism based on the direct sale price and the transfer payment mechanism. Finally, this paper uses numerical examples to verify that the combined contract can effectively coordinate the strategic inventory decision of the retailer and the pricing of the dual-channel supply chain members in two periods.
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    A Signal Game Model of Collaborative Research and Development for Complex Products Based on Generic Technology Under Government Subsidy
    ZHENG Yuelong, ZHOU Lixin, WANG Lin
    2020, 29 (1):  183-189.  doi: 10.3969/j.issn.1005-2542.2020.01.020
    Abstract ( )   PDF (986KB) ( )  
    This paper builds a signal game model of collaborative research and development for complex products under government subsidy based on the generic technology to analyze the strategy selection mechanism and its influencing factors, in order to enhance the innovation resources allocation efficiency and bring into full play the leverage of government subsidies. The results indicate that due to information incompleteness, there appear to be three kinds of perfect Bayesian equilibriums: complete failure, partial success, and complete success in the game of collaborative research and development of supply chain and government complex products based on the generic technology, and the equilibriums are mainly affected by the disguise cost and risk cost. Therefore, the key to achieving a completely successful game equilibrium is to increase the cost of disguise cost and risk cost of supply chain. Based on the results, this paper puts forward relevant suggestions from establishing the notification and commitment systems, perfecting the subsidy approval and payment mechanism, and increasing the intensity of spot check and punishment for fraud. Finally, it puts forward the research deficiency and directions for further research.
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    Options on S&P 500 Index by Fundamental Transform Approach: 4/2 Stochastic Volatility Model
    WANG Bo, ZHU Shunwei, DENG Yadong, LIAO Xin
    2020, 29 (1):  190-188.  doi: 10.3969/j.issn.1005-2542.2020.01.021
    Abstract ( )   PDF (1534KB) ( )  
    The existing stochastic volatility models have such a problem: A single-factor volatility model can generate steep curves or flat curves at a given volatility, but it cannot generate both for given parameters, which is inconsistent with the actual observed data. To precisely describe the market implied volatility curve, this paper studied a two-factor 4/2 stochastic volatility model that includes, as special instances, the Heston model and the 3/2 model. Besides, it applied Lewis’s fundamental transform approach to deduce the partial differential equation(PDE). In addition, by adopting the data on S&P 500, it estimated the parameters of the 4/2 model. Furthermore, it investigated the 4/2 model along with the Heston model and the 3/2 model, and compare their different performances. The results indicate that the option price fitting error of the 4/2 model is smaller than that of other two models.
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